Ramtin Tabatabaei
Papers
2
Total Citations
8
H-Index
2
About
Ramtin Tabatabaei is an emerging researcher in the field of Human-Robot Interaction (HRI), with a focus on understanding how humans perceive, trust, and collaborate with robotic systems. His work sits at the intersection of social robotics, behavioral analysis, and HRI methodology, addressing some of the most pressing challenges in deploying robots as effective collaborative partners. Tabatabaei's most notable contribution examines how human gaze responds to robot failures during collaborative tasks, offering critical insights into trust dynamics and the social consequences of robotic error. With 5 citations, this work highlights the importance of failure detection and recovery mechanisms for sustaining human confidence in robotic teammates. His second significant contribution introduces ROSAnnotator, a web application designed to streamline the analysis of ROSBag data in empirical HRI studies, earning 3 citations and demonstrating his commitment to advancing the methodological toolkit available to HRI researchers. Collectively, his research bridges the gap between technical robotics and human behavioral science, making him a valuable voice in conversations about robot reliability, transparency, and research infrastructure. Though early in his career, Tabatabaei's work shows strong promise for shaping more trustworthy and human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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